Digital Decision Support Technologies in Legal Practice: Psychological Profile and User Trust

Authors

  • A. Yu. Kuzmin Saint Petersburg State University Автор
  • O.O. Gofman Saint Petersburg State University Автор
  • S.V. Kovalchuk ITMO University Автор

Keywords:

artificial intelligence, decision support system, jurisprudence, law enforcement

Abstract

Decision support systems (DSS) are a promising technology based on artificial intelligence. While such systems are currently used in a number of fields and industries, the legal field remains one of the most challenging to implement.The purpose of this paper is to analyze the psychological aspects of user-AI interaction within these systems. Based on an analysis of existing models of human-technology interaction and the author's methodology, the study design is presented.The results of a focus group with experts from executive and judicial authorities (N = 8) are presented: the role of DSS in legal work, and the benefits and concerns associated with using such systems. Parameters relevant for profiling and further adapting systems to specific users are highlighted.The article also discusses the prospects and issues of implementing DSS in law enforcement practice.

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Author Biographies

  • A. Yu. Kuzmin, Saint Petersburg State University

    Andrey Yu. Kuzmin, Department Assistant

    Saint Petersburg

  • O.O. Gofman, Saint Petersburg State University

    Olga O. Gofman, PhD, Assistant Professor

    Saint Petersburg

  • S.V. Kovalchuk, ITMO University

    Sergey V. Kovalchuk, PhD, Associate Professor

    Saint Petersburg

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Published

2025-09-15

Issue

No. 5 (2025)

Section

Articles

License

Copyright (c) 2025 Kuzmin A.Y., Gofman O.O., Kovalchuk S.V.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Kuzmin A.Y., Gofman O., Kovalchuk S. Digital Decision Support Technologies in Legal Practice: Psychological Profile and User Trust // Administrative Consulting. 2025. no. 5. P. 106–114.

Коды статьи

  • EDN IJDDMP
  • Тип статьи (РИНЦ) Научная статья (Научная статья)